Data Engineer (Fixed-term) at GSK

Seoul, , South Korea -

Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure, Databricks, SQL, Python, PySpark, ETL, ELT, Data Engineering, Medallion Architecture, Delta Lake, Data Pipelines, Data Quality, Unity Catalog, Azure SQL, Data Validation, Cloud Technologies

Industry

Pharmaceutical Manufacturing

Description

Site Name: Korea - Seoul Posted Date: Apr 6 2026 Job Purpose The Data Engineer is responsible for designing, building, and operating reliable data pipelines on the Azure data platform. This role works closely with Tech and Business Intelligence teams to deliver high-quality, trusted datasets through automated data ingestion, cleansing, and validation processes. The position is fixed-term contract. Key Responsibilities Design, build, and maintain a Medallion Architecture (Bronze/Silver/Gold) on Azure Databricks to deliver high-quality, business-ready datasets. Develop and operate ETL/ELT workflows with scheduling, monitoring, and rerun strategies. Implement robust data cleansing and transformation logic using SQL and Python/PySpark. Automate data validation and data quality checks embedded within pipelines. Troubleshoot and resolve production data pipeline issues under time pressure. Collaborate closely with Tech and BI teams to translate business requirements into data solutions. Ensure curated datasets are optimized for analytics, reporting, and automation use cases. Support integrations with Power Platform where data pipelines feed business workflows. Document pipeline designs, validation logic, and operational procedures. Continuously improve data reliability, performance, and operational efficiency. Knowledge / Education / Previous Experience Required A. Educational Background Minimum: Bachelor’s degree in Computer Science, Engineering, Data, or a related field (or equivalent experience). Preferred: Advanced degree or relevant professional certifications in data or cloud technologies. B. Job-Related Experience 5–7 years of hands-on experience in Data Engineering or related roles. Strong SQL skills including joins, aggregations, and reconciliation logic. Strong experience with Python and PySpark for data processing. Hands-on experience with Databricks, Spark, and Delta Lake in production environments. Experience with Azure data services such as Azure SQL, Azure databases, and Azure Blob Storage / Data Lake. Proven ability to operate and support production pipelines end to end. Proven experiencing implementing Medallion Architecture and managing data quality within Lakehouse environment In-depth understanding of Databricks Unity Catalog, including catalog/schema management and migration from Hive Metastore C. Other Job-Related Skills / Background Ability to work autonomously with strong ownership and accountability. Comfortable working under pressure in fast-paced environments. Proficiency in English is a strong plus, especially for collaboration with global or regional stakeholders. Clear communication skills with both technical and non-technical audiences. *LI-GSK Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. We are committed to creating an inclusive workplace and providing equal opportunities for all applicants. We embrace an agile working culture across our roles, so if flexibility is important to you please discuss opportunities with our hiring team. If you need any adjustments to the recruitment process to help you demonstrate your strengths and capabilities, contact APACRecruitment.Adjustments@gsk.com. Please note this email is for adjustment requests only; for other enquiries please use our standard contact channels. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Responsibilities

The Data Engineer will design, build, and maintain reliable data pipelines on the Azure platform using Medallion Architecture. They will collaborate with technical and business teams to ensure high-quality, validated datasets are delivered for analytics and reporting.